What are the differences between 1-step SARSA and SARSA?
N-step SARSA can be both off policy and on-policy. I think you already know the n step on-policy SARSA. So I am just telling you how n-step SARSA can be off-policy.

Off-policy n-step SARSA: Now you have two policies, one is target policy, $\pi$, (let's say it is a greedy policy), another one is behavior policy, $b$, (you are actually following this behavior policy). Since this is off-policy, you do importance sampling for that. So the update rule is like this:

$$Q_{t+n}(S_{t},A_{t}) = Q_{t+n-1}(S_{t},A_{t}) + \alpha \rho_{t+1:t+n-1}[G_{t:t+n} - Q_{t+n-1}(S_{t},A_{t})],$$

where

$$\rho_{t:h} = \prod_{t=k}^{h} \frac{\pi(A_{k}|S_{k})}{b(A_{k}|S_{k})}$$

You are following the behavior policy $b$, but shifting the Q values towards the target policy, $\pi$. 

Off-policy one-step SARSA: You can think of Q learning as one-step off policy SARSA.